Automated System for OEE Management in the Industrial Sector

dc.contributor.authorGomez, Diegoeng
dc.contributor.authorPantoja, Sofiaeng
dc.contributor.authorAcosta, Enoceng
dc.contributor.authorArrieta, Davideng
dc.contributor.authorGutiérrez, Sebastiáneng
dc.date.accessioned2025-02-06 00:00:00
dc.date.accessioned2025-08-16T14:15:16Z
dc.date.available2025-02-06 00:00:00
dc.date.issued2025-02-06
dc.description.abstractIn today’s fast-paced manufacturing environment, the need to monitor production processes is becoming increasingly urgent. As companies strive to remain competitive in the Industry 4.0 era, they seek innovative solutions to enhance efficiency. This project addresses that need by providing a solution to capture OEE (Overall Equipment Effectiveness) measurements from machines in the drum-filling industry, specifically targeting semi-automatic equipment. The primary objective is to streamline decision-making and improve data management performance. In collaboration with Alianza Team S.A., this article outlines the detailed design and development process of a web platform called AutOEE, which integrates the Snap7 communication technology. Additionally, the article presents technical experiments, including tests conducted using a PLC provided by ELEIA to simulate real production environments. These tests verified system stability, web interface responsiveness, and accurate data extraction, with reconnection features to recover from connectivity loss. The platform also supports real-time and historical OEE data visualization, with customizable views for specific days and shifts. User feedback, gathered through a web interface test with randomized data, was overwhelmingly positive (98%), praising ease of use, relevance, and load times. However, suggestions for improvement included simplifying access to historical data, adding PDF report generation, improving security, and enhancing error reporting. These insights will guide future platform updates.eng
dc.format.mimetypeapplication/pdfeng
dc.identifier.doi10.32397/tesea.vol6.n1.810
dc.identifier.eissn2745-0120
dc.identifier.urihttps://hdl.handle.net/20.500.12585/14167
dc.identifier.urlhttps://doi.org/10.32397/tesea.vol6.n1.810
dc.language.isoengeng
dc.publisherUniversidad Tecnológica de Bolívareng
dc.relation.bitstreamhttps://revistas.utb.edu.co/tesea/article/download/810/454
dc.relation.citationeditionNúm. 1 , Año 2025 : Transactions on Energy Systems and Engineering Applicationseng
dc.relation.citationendpage18
dc.relation.citationissue1eng
dc.relation.citationstartpage1
dc.relation.citationvolume6eng
dc.relation.ispartofjournalTransactions on Energy Systems and Engineering Applicationseng
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dc.rightsDiego Gomez; Sofia Pantoja; Enoc Acosta, David Arrieta, Sebastián Gutiérrez - 2025eng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2eng
dc.rights.creativecommonsThis work is licensed under a Creative Commons Attribution 4.0 International License.eng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0eng
dc.sourcehttps://revistas.utb.edu.co/tesea/article/view/810eng
dc.subjectOverall Equipment Effectiveness (OEE)eng
dc.subjectIndustrial Automationeng
dc.subjectSmart Manufacturingeng
dc.subjectReal-Time Data Visualizationeng
dc.subjectProduction Optimizationeng
dc.subjectSnap7 Communication Technologyeng
dc.subjectIoT in Manufacturingeng
dc.subjectIndustrial Ioteng
dc.titleAutomated System for OEE Management in the Industrial Sectorspa
dc.title.translatedAutomated System for OEE Management in the Industrial Sectorspa
dc.typeArtículo de revistaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501eng
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85eng
dc.type.contentTexteng
dc.type.driverinfo:eu-repo/semantics/articleeng
dc.type.localJournal articleeng
dc.type.versioninfo:eu-repo/semantics/publishedVersioneng

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